Analysing Time-Stamped Co-Editing Networks in Software Development Teams using git2net.

ABSTRACT: Data from software repositories have become an important foundation for the empirical study of software engineering processes. A recurring theme in the repository mining literature is the inference of developer networks capturing e.g. collaboration, coordination, or communication from the commit history of projects. Many works in this area studied networks of co-authorship of software artefacts, neglecting detailed information on code changes and code ownership available in software repositories. To address this issue, we introduce git2net, a scalable python software that facilitates the extraction of fine-grained co-editing networks in large git repositories. It uses text mining techniques to analyse the detailed history of textual modifications within files. We apply

SUBMITTER: Gote C 

PROVIDER: S-EPMC8550015 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature